CN115693753A - Multi-region coordination control method based on load virtual energy storage - Google Patents
Multi-region coordination control method based on load virtual energy storage Download PDFInfo
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Abstract
The invention discloses a multi-region coordination control method based on load virtual energy storage. The method aims to solve the problems that the prior art does not consider the poor resource allocation in each area range and the imbalance of the regulation and control of the resources and the requirements among different areas is not considered; the invention comprises the following steps: s1: constructing a plurality of mutual-aid microgrids by taking each base station as a node to form a mutual-aid microgrid area; s2: respectively collecting the supply and demand relations of each mutual-aid microgrid, calculating the required regulating quantity, and selecting different regulating modes according to the regulating quantity; s3: and respectively executing internal regulation of each mutual-aid microgrid, feeding back a regulation result, and carrying out balance regulation on the mutual-aid microgrid area. The areas are mutually matched on the basis of meeting the self supply by considering the supply and demand difference among different areas, and the supply and demand balance of each power supply area is ensured. And the adjustment mode of virtual energy storage of the load is selected according to the adjustment amount, so that the method is more flexible.
Description
Technical Field
The invention relates to the field of load regulation, in particular to a multi-region coordination control method based on load virtual energy storage.
Background
Shortage of traditional energy and deterioration of ecological environment become barriers restricting sustainable development, a clean, low-carbon, safe and efficient energy system is required to be constructed, the total amount of fossil energy is controlled, the utilization efficiency is improved, renewable energy substitution actions are implemented, electric power system reform is deepened, and a novel electric power system mainly based on new energy is constructed.
The novel power system needs more adjusting resources, the demand side load has huge adjusting potential, the load resources are equivalent to virtual energy storage through configuration regulation and control and a load aggregation scheduling strategy based on the demand response potential of massive adjustable load resources, response capacity is converted into charge and discharge energy, and flexible regulation and control of the load resources are achieved. However, the load virtual energy storage resources and the power consumption demand amount are different between different areas, for example, compared with a power supply area with a large number of residential areas and a power supply area with a large number of industrial areas, the load virtual energy storage resources and the power consumption demand amount are different between the two power supply areas, the supply and demand balance degree is different between different areas, and a load virtual energy storage resource allocation method between areas is lacked.
For example, a "virtual energy storage peak shaving system and method based on photovoltaic-storage battery-temperature control load" disclosed in chinese patent literature, which is under the publication number CN110165692a, the system includes: the system comprises a photovoltaic unit, a storage battery unit, a cluster temperature control load unit, a system control unit, an inverter unit and a dispatching control center. The power generation process of the photovoltaic unit is equivalent to the discharge process of the virtual energy storage battery, the process of increasing the load power of the temperature control load unit is equivalent to the charge process of the virtual energy storage battery, and the reverse process is the discharge process. The photovoltaic unit, the storage battery unit and the cluster temperature control load unit form a virtual energy storage unit. And controlling the gradient charging of the storage battery at night by taking weather prediction data as input, and realizing stable information and energy interaction between the virtual energy storage unit and a power grid bus according to the scheduling signal and the photovoltaic output condition in the daytime valley period, thereby participating in demand response peak shaving service.
However, the scheme does not consider the poor resource allocation in each region range, the imbalance of the regulation and control of resources and demands among different regions, and a load virtual energy storage resource scheduling method among different regions is lacked.
Disclosure of Invention
The invention mainly solves the problems that the prior art does not consider the resource allocation difference of each area range and the regulation and control of the resources and the requirements among different areas are unbalanced; the multi-region coordination control method based on load virtual energy storage is provided, and the supply and demand difference among different regions is considered, the regions are mutually matched on the basis of meeting the self supply, and the supply and demand balance of each power supply region is ensured.
The technical problem of the invention is mainly solved by the following technical scheme:
a multi-region coordination control method based on load virtual energy storage comprises the following steps:
s1: constructing a plurality of mutual-aid microgrids by taking each base station as a node to form a mutual-aid microgrid area;
s2: respectively collecting the supply and demand relations of each mutual-aid microgrid, calculating the required regulating quantity, and selecting different regulating modes according to the regulating quantity;
s3: and respectively executing internal regulation of each mutual-aid microgrid, feeding back a regulation result, and carrying out balance regulation on the mutual-aid microgrid area.
According to the scheme, the supply and demand difference among different areas is considered, the areas are mutually complemented on the basis of meeting the self supply, and the supply and demand balance of each power supply area is ensured. And the adjustment mode of virtual energy storage of the load is selected according to the adjustment amount, so that the method is more flexible.
Preferably, the step S1 specifically includes the following steps:
s10l: selecting base stations in normal operation to form a power supply base station set;
s102: dividing a communication area by taking a base station in the power supply base station set as a circle center and a rated distance as a radius; if the communication area has base stations concentrated by other power supply base stations, establishing communication connection; otherwise, ending the communication connection of the base station;
s103: and traversing the power supply base stations to centralize all the base stations, defining the area between the base stations in communication connection as a mutual-aid microgrid, and integrating all the mutual-aid microgrids into a mutual-aid microgrid area.
And micro-grid areas are divided, and the micro-grids are communicated with one another, so that resource integration is facilitated.
Preferably, the mutual-aid microgrid region comprises:
the power grid layer comprises power grid equipment and power grid loads;
a control layer including a microgrid controller and a mutual aid controller;
the microgrid controller is used for acquiring microgrid supply and demand information and controlling load adjustment inside the microgrid;
the mutual aid controller is used for acquiring the residual load information of each microgrid and controlling energy mutual aid among the microgrids.
The hierarchical control is more comprehensive, and the regional balance is achieved.
Preferably, the load virtual energy storage in the microgrid comprises distributed energy, an air conditioner and a new energy automobile; and the load virtual energy storage is respectively in communication connection with the corresponding microgrid controllers.
And the energy is adjusted by adopting load virtual energy storage, so that the adjustment is flexible.
Preferably, the step S2 specifically includes the following steps:
s201: acquiring the power supply capacity of a power grid of the mutual-aid microgrid, and judging whether load adjustment is needed or not according to historical demand data of the mutual-aid microgrid in the same ratio; if yes, go to step S202; otherwise, ending;
s202: calculating the adjustment quantity according to the safety threshold value of the corresponding time period;
s203: and selecting a corresponding adjusting mode according to the adjusting quantity obtained by calculation.
And the adjustment mode of virtual energy storage of the load is selected according to the adjustment amount, so that the method is more flexible.
Preferably, the judging process of whether the adjustment is needed is as follows:
averaging daily historical demand data in the same quarter by taking a day as a unit to obtain daily average data of the historical demand;
establishing a power-time coordinate system by taking time as a horizontal axis and the load amount as a vertical axis;
drawing a daily average data curve of historical demands and a power supply data curve of a transformer area acquired in real time in the same power-time coordinate system; judging whether a historical demand daily average data curve is located above a distribution area power supply data curve or not in each minimum unit time by taking one hour as a minimum unit time period; if yes, judging that the time period is the time period required to be subjected to load adjustment, and entering step S202; otherwise, entering the next judgment;
the area formed by the power supply data curve of the transformer area and the time axis in the ith minimum unit time period is S gi (ii) a The area formed by the daily average data curve of the historical demands and the time shaft in the ith minimum unit time period is S ni (ii) a Judgment S ni And S gi Ratio P S If the time period is greater than the proportional threshold, judging that the time period needs to be subjected to load adjustment if the time period is greater than the proportional threshold, and entering the step S202; otherwise, ending.
The time period for which the adjustment is required is computationally selected.
Preferably, the adjustment amount calculation process is as follows:
when S is ni-1 ≥S gi-1 Time of flight
When S is ni-1 ＜S gi-1 Time-piece
Wherein, P di Load adjustment quantity of the microgrid in the ith minimum time period is obtained;
beta is the magnification factor and is a constant;
M k the k type of electric equipment proportionality coefficient in the microgrid is set;
ω k the method comprises the following steps of (1) determining the importance weight coefficient of kth type of electric equipment in the microgrid;
S gi-1 the area formed by a power supply data curve and a time axis of the station area in the (i-1) th minimum unit time period;
S ni-1 and (3) the area formed by the historical demand daily average data curve and the time axis in the (i-1) th minimum unit time period.
And calculating the required adjustment amount according to the supply and demand relation.
Preferably, the adjusting method comprises the following steps:
the point control mode is used for controlling the output of an air conditioner or feeding back a power grid by using a new energy automobile aiming at an accurate object;
the distributed control mode adopts distributed new energy in a mutual-aid micro-network to consume and supply power on the spot;
and in a centralized control mode, base stations around the mutual-aid microgrid are used for supplying power to the mutual-aid microgrid.
According to different adjustment amounts, a proper adjustment mode is selected, adjustment is flexible, and supply and demand balance in the micro-network is guaranteed.
Preferably, when the load adjustment amount is less than or equal to the first adjustment threshold, a point control mode is adopted for regulation and control;
when the load adjustment amount is greater than a first threshold value and less than or equal to a second adjustment threshold value, a point control mode and a distributed control mode are combined for regulation and control;
and when the load adjustment amount is larger than a second adjustment threshold value or the microgrid is in a fault state, adopting a centralized control mode for regulation and control.
And according to different adjustment amounts, a proper adjustment mode is selected, the adjustment is flexible, and the supply and demand balance in the micro-network is ensured.
Preferably, the step S3 specifically includes the following steps:
s301: each microgrid carries out regulation in different time periods according to the calculated load regulation amount and the selected regulation mode;
s302: after the adjustment is completed on the same day, the power supply and demand relationship of each microgrid is respectively counted;
s303: and if the load adjustment amount of the last time period of the day is greater than a second adjustment threshold or the microgrid fails, sending a mutual assistance request to the adjacent microgrids, and executing power mutual assistance between the microgrids by the adjacent microgrids through the base station.
The power supply and demand of the whole area are balanced by the mutual power assistance between the micro-networks and the allocation.
The invention has the beneficial effects that:
1. according to the scheme, the supply and demand difference among different areas is considered, the areas are mutually complemented on the basis of meeting the self supply, and the supply and demand balance of each power supply area is ensured.
2. And the adjustment mode of virtual energy storage of the load is selected according to the adjustment amount, so that the method is more flexible.
3. The hierarchical control is more comprehensive, and the regional balance is achieved.
Drawings
Fig. 1 is a flow chart of a regulation and control method based on load virtual energy storage of the present invention.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
as shown in fig. 1, a multi-region coordination control method based on load virtual energy storage in this embodiment includes the following steps:
s1: and constructing a plurality of mutual-aid microgrids by taking each base station as a node to form a mutual-aid microgrid area.
S101: and selecting base stations in normal operation to form a power supply base station set.
S102: dividing a communication area by taking a base station in the power supply base station set as a circle center and a rated distance as a radius; if base stations in other power supply base station sets exist in the communication area, establishing communication connection; otherwise, ending the communication connection of the base station.
S103: traversing the power supply base stations to centralize all the base stations, defining the area among the base stations in communication connection as a mutual-aid microgrid, and setting the set of all the mutual-aid microgrids as a mutual-aid microgrid area.
And micro-grid areas are divided, and the micro-grids are communicated with one another, so that resource integration is facilitated.
The mutually-complemented microgrid region comprises a grid layer and a control layer. The hierarchical control is more comprehensive, and the regional balance is achieved.
The power grid layer comprises power grid equipment and power grid loads, and is actual power grid equipment and connection.
The control layer includes a piconet controller and an interworking controller.
And the microgrid controller is used for acquiring microgrid supply and demand information and controlling microgrid internal load adjustment.
The mutual-aid controller is used for collecting the residual load information of each microgrid and controlling the mutual energy aid among the microgrids.
The virtual load energy storage in the micro-grid comprises distributed energy, an air conditioner and a new energy automobile; and the load virtual energy storage is respectively in communication connection with the corresponding microgrid controllers. And the energy is adjusted by adopting load virtual energy storage, so that the adjustment is flexible.
S2: and respectively collecting the supply and demand relations of each mutual-aid microgrid, calculating the required regulating quantity, and selecting different regulating modes according to the regulating quantity.
S201: acquiring the power supply capacity of a power grid of the mutual-aid microgrid, and judging whether load adjustment is needed or not according to historical demand data of the mutual-aid microgrid in the same ratio; if yes, go to step S202; otherwise, ending.
The judgment process of whether the adjustment is needed is as follows:
and averaging daily historical demand data in the same quarter by taking the day as a unit to obtain daily average data of the historical demand.
And establishing a power-time coordinate system by taking time as a horizontal axis and the load quantity as a vertical axis.
And drawing a daily average data curve of historical demands and a power supply data curve of the transformer area acquired in real time in the same power-time coordinate system.
Judging whether a daily average data curve of historical demands exists above a power supply data curve of the distribution room within each minimum unit time by taking one hour as a minimum unit time period; if yes, judging that the time period is the time period required to be subjected to load adjustment, and entering step S202; otherwise, the next judgment is carried out.
The area formed by the power supply data curve of the station area and the time axis in the ith minimum unit time period is S gi (ii) a The area formed by the daily average data curve of the historical demands and the time shaft in the ith minimum unit time period is S ni (ii) a Judgment S ni And S gi Ratio P S If the time period is greater than the proportional threshold, judging that the time period needs to be subjected to load adjustment if the time period is greater than the proportional threshold, and entering the step S202; otherwise, ending.
S202: and calculating the adjustment amount according to the safety threshold value of the corresponding time period.
The adjustment quantity calculation process comprises the following steps:
when S is ni-1 ≥S gi-1 Time of flight
When S is ni_1 ＜S gi-1 Time of flight
Wherein, P di Load regulation for microgrid in ith minimum time periodSaving quantity;
beta is a magnification factor and is a constant; in this example 1.2.
M k The k type of electric equipment proportionality coefficient is in the microgrid;
ω k the method comprises the following steps of (1) determining the importance weight coefficient of kth type of electric equipment in the microgrid;
S gi-1 the area formed by a power supply data curve and a time axis of the station area in the (i-1) th minimum unit time period;
S ni-1 and (3) the area formed by the historical demand daily average data curve and the time axis in the (i-1) th minimum unit time period.
The adjustment amount is calculated in relation to the type of electrical device used in the microgrid. The importance weight coefficient of the electric equipment in the electricity-protecting areas such as schools, hospitals and the like is higher; the electric equipment in important areas, such as shopping malls, residential areas, industrial areas and other areas relevant to production and life is inferior; and other electric equipment with small influence on life.
And calculating the adjustment quantity at the next moment through the power supply and demand quantity of the previous time period, and controlling in advance.
S203: and selecting a corresponding adjusting mode according to the adjusting quantity obtained by calculation.
The adjusting mode comprises a point control mode, a distributed control mode and a centralized control mode.
And the point control mode is used for controlling the output of the air conditioner or feeding back the power grid by using the new energy automobile aiming at the accurate object. The control of the inverter air conditioner is generally adopted.
And a distributed control mode adopts distributed new energy in a mutual-aid micro-network to consume and supply power on the spot.
And in a centralized control mode, base stations around the mutual-aid microgrid are used for supplying power to the mutual-aid microgrid.
And according to different adjustment amounts, a proper adjustment mode is selected, the adjustment is flexible, and the supply and demand balance in the micro-network is ensured.
And when the load adjustment amount is less than or equal to the first adjustment threshold, adopting a point control mode for regulation and control.
And when the load adjustment quantity is greater than the first threshold value and less than or equal to the second adjustment threshold value, combining a point control mode and a distributed control mode for regulation and control.
And when the load adjustment amount is larger than a second adjustment threshold value or the microgrid is in a fault state, adopting a centralized control mode for regulation and control.
And according to different adjustment amounts, a proper adjustment mode is selected, the adjustment is flexible, and the supply and demand balance in the micro-network is ensured.
Because the set temperature of the variable frequency air conditioner is a discrete value, the power of the variable frequency air conditioner is increased in a step mode along with the reduction of the set temperature in a refrigeration mode, the air conditioner cannot stably operate at the power between two adjacent temperatures, deviation always exists between the response power and the power requirement of the air conditioner, and the photovoltaic output fluctuation is difficult to accurately track. And the change of the operation state of the air conditioner is delayed in time after the temperature of the air conditioner is reset, so that the change of the power is also delayed. The delay time is related to the regulation temperature. The smaller the change value of the temperature, the longer the time delay, and the smaller the change rate of the power. The air conditioner-distributed energy combined regulation and control method implemented in the implementation comprises the following steps:
a1: and respectively establishing a room temperature change model, a variable frequency air conditioner model and a battery energy storage model. The battery energy storage model in this embodiment is an energy storage battery of a distributed energy source.
The dynamic change of the room temperature is usually described by using an equivalent thermal parameter model, and the change situation of the room temperature is shown as the following formula:
Q gain ＝Q AC +Q solar +Q L
wherein, T air Is the temperature of the indoor air;
r is the equivalent thermal resistance of the room;
c is the equivalent heat capacity of the room;
T out the outdoor air temperature;
Q gain heat power exchanged between the room and the outside;
Q AC greater than 0 for air conditioning heat powerHeating, otherwise, cooling is represented;
Q solar thermal power for solar radiation;
Q L the heat-generating power of other electric appliances in the room.
The heat storage capacity of a room is closely related to the response capacity of the inverter air conditioner, and the indoor and outdoor temperature also influences the operating power of the inverter air conditioner. Therefore, it is necessary to accurately calculate the real-time temperature of the room so as to adjust the power (set temperature) of the air conditioner according to the real-time response power requirement.
In addition, when the indoor temperature exceeds a comfortable temperature zone preset by the user, the set temperature needs to be changed immediately to ensure the comfort of the user.
The real-time electric quantity is an important index of the Charge and discharge capacity of the battery, and is generally described by using a State of Charge (SOC):
in the formula, S SOC (t) is the state of charge of the battery at the current moment;
S SOC (t-1) is the state of charge of the battery at the last moment;
P bat (t-1) the power of the battery at the last moment, wherein the positive power represents discharging and the negative power represents charging;
eta represents the charge-discharge efficiency of the battery;
C bat indicating the capacity of the battery.
Power P of energy storage battery at any moment except for state of charge bat (t) is subjected to maximum discharge power
And maximum charging power
The constraint of (2):
to prolong the life of the energy storage battery and to avoid overcharging and overdischarging of the battery, its state of charge S SOC (t) need to be maintained at minimum state of charge
And maximum state of charge
The method comprises the following steps:
the frequency conversion air conditioner can match the refrigerating/heating capacity of the air conditioner and the heat of a room in unit time through adjusting the frequency of the frequency converter of the air conditioner compressor, so that the room temperature is kept stable. Compared with a fixed-frequency air conditioner, the indoor temperature deviation is smaller, and the compressor does not need to be started or stopped frequently.
The operating frequency of the inverter air conditioner has a strong linear relationship with the power, and the relationship can be expressed as:
P AC ＝S AC (mf AC +n)
in the formula, P AC The running power of the variable frequency air conditioner is obtained;
S AC the method is characterized in that the operation state of the variable frequency air conditioner is 1, wherein the normal operation of the air conditioner is represented by 1, and the shutdown of the air conditioner is represented by 0;
f AC representing the running frequency of the variable frequency air conditioner;
and m and n are two coefficients for representing the relation between the frequency and the power of the variable frequency air conditioner.
The working frequency of the compressor of the inverter air conditioner depends on the set temperature and the indoor temperature, and when the difference between the indoor temperature and the set temperature exceeds the maximum temperature difference threshold delta T, taking the refrigeration mode as an example max The air conditioner operates at maximum power; when the difference between the indoor temperature and the set temperature is lower than the minimum temperature difference threshold delta T min When the air conditioner is in the standby state, the air conditioner enters the standby state; when the difference between the indoor temperature and the set temperature is at the lowest temperature difference threshold value delta T min And a maximum temperature difference threshold Δ T max BetweenThe larger the temperature difference is, the higher the frequency is, and the specific relation is shown as the following formula:
in the formula: f. of AC Representing the running frequency of the variable frequency air conditioner;
f max and f min Respectively the highest working frequency and the lowest working frequency of the air conditioner frequency converter;
a is a proportional control coefficient of the frequency converter;
b is the fundamental frequency of the frequency converter;
T i is the indoor temperature at time i;
T set to set the temperature.
A2: and calculating the air conditioner temperature adjustment amount according to the photovoltaic actual output and the photovoltaic predicted output.
Initializing corresponding parameters of the air conditioner, and calculating the corresponding relation between the power change of the air conditioner and the room temperature change by utilizing a room temperature change model according to the room parameters, the indoor temperature, the outdoor temperature and the set temperature.
Inputting the actual photovoltaic output P PV (t) and photovoltaic prediction output
Calculating the smooth photovoltaic output
And then smoothing the photovoltaic output and controlling the target power according to the collected real-time data
And determining the temperature adjustment amount of the air conditioner.
Delta P used for calculating air conditioner temperature adjustment amount when battery does not participate in regulation S (t) can be expressed as:
according to response power delta P of air conditioner S And (t) calculating to obtain a set temperature adjustment amount of the air conditioner by utilizing a sectional hysteresis control strategy of the variable frequency air conditioner so as to stabilize main photovoltaic fluctuation.
A3: and reducing/increasing the set temperature of the air conditioner and calculating the power deviation.
Judging response power delta P of air conditioner S (t) whether the temperature is greater than 0, if so, reducing the set temperature of the air conditioner; otherwise, the set temperature of the air conditioner is increased.
The power deviation Δ P (t) is calculated.
Wherein, P line (t) and
respectively representing the actual power and the target power of the tie line, wherein the power supply to the power grid is represented by more than 0, and the power purchase from the power grid is represented by less than 0Electricity;
P PV (t) represents the actual contribution of the photovoltaic;
P bat (t) represents the real-time power of the battery, greater than 0 represents discharging, less than 0 represents charging;
P AC (t) representing the real-time power of the inverter air conditioner;
P L (t) represents the total real-time power of the other appliances;
In order to realize friendly grid connection of building photovoltaic, the deviation between the actual photovoltaic output and the predicted photovoltaic output is compensated by controlling the composite energy storage formed by the battery-variable frequency air conditioner. The control target is that the difference delta P (t) between the actual power and the target power of the building-grid tie line is minimum.
A4: and calculating and adjusting the charge and discharge power of the battery.
After the temperature of the air conditioner is adjusted, because of the discontinuity of the response power of the air conditioner and the uncertainty of response delay, the deviation needs to be compensated by the charge and discharge of a battery; in addition, the battery is required to absorb the rapid power fluctuation of the photovoltaic, so the real-time battery charge and discharge power can be expressed as follows:
P bat (t)＝ΔP(t)-ΔP AC (t)
frequent photovoltaic output fluctuation can be stabilized through power adjustment of the battery, and power compensation is carried out on response delay and response deviation of the air conditioner; the response capacity of the air conditioner can also reduce the charging and discharging electric quantity and power of the battery, and the power energy complementation of the battery and the variable frequency air conditioner is realized.
t 1 At all times, the power needs to be drawn from the starting power P due to the photovoltaic output dip start Cut down to target power P target The specific response flow can be divided into two parts of battery power compensation and air conditioner energy support.
(1) Battery power compensation
At t 1 -t 4 And t 6 -t 9 And in the stage, because of the response delay of the air conditioner, the power fluctuation of a tie line caused by the photovoltaic output fluctuation can not be quickly tracked, and the power deviation caused by the air conditioner delay is compensated by adjusting the charge and discharge power of a battery:
at t 4 -t 6 The time interval, the air conditioner power after the temperature adjustment reaches stably again, because the discrete characteristic of setting for the temperature leads to the reduction power of air conditioner can't accurately match the regulation demand to response deviation appears, required battery power compensation does:
P bat (t)＝P target -P AC (t)
(2) Air conditioner energy support
For t 1 -t 9 In the whole response process, the energy support is provided for the battery through the power reduction of the air conditioner, the electric quantity required to be released by a single battery for maintaining the power stability of the tie line is obviously reduced, and the energy support provided by the air conditioner can be obtained by the following formula:
the complementary control of the power and the energy of the battery-variable frequency air conditioner realizes the complementary advantages of the battery and the variable frequency air conditioner, and compared with the independent air conditioner response or battery regulation, the complementary control not only can quickly and accurately track the photovoltaic change, but also can reduce the charging and discharging energy of the battery.
S3: and respectively executing internal regulation of each mutual-aid microgrid, feeding back a regulation result, and carrying out balance regulation on the mutual-aid microgrid area.
The step S3 specifically includes the following steps:
s301: and each microgrid executes adjustment in different time periods according to the calculated load adjustment amount and the selected adjustment mode.
S302: and after the adjustment is completed on the same day, respectively counting the power supply and demand relationship of each microgrid.
S303: and if the load adjustment amount of the last time period of the day is greater than a second adjustment threshold or the microgrid fails, sending a mutual assistance request to the adjacent microgrids, and executing power mutual assistance between the microgrids by the adjacent microgrids through the base station.
The inter-microgrid mutual assistance process in the normal microgrid state is as follows:
1, selecting the microgrid to be adjusted; traversing adjacent micro-grids, and judging the power utilization state of each adjacent micro-grid;
when the electricity demand of the microgrid is less than 90% of the maximum power supply quantity, judging that the electricity utilization state of the microgrid is a mutual-benefit state;
when the power consumption demand of the microgrid is greater than the maximum power supply quantity, judging that the power consumption state of the microgrid is a mutual-aid-needed state;
and when the electricity demand of the microgrid is more than or equal to 90% of the maximum power supply amount and equal to the maximum power supply amount, judging that the electricity utilization state of the microgrid is in an undetermined state.
And 2 > sending a mutual-aid request to the adjacent microgrid in the mutual-aid state, and adding 1 to the mutual-aid zone bit of the adjacent microgrid in the mutual-aid state.
3, after traversing all the microgrids, judging mutual-assistance flag bits of the microgrids; the microgrid performs mutual coordination of power resources from small to large according to the mutual coordination zone bit.
The mutual aid mark represents the power resource demand around the microgrid, the demand of preferential allocation is small, and the efficiency of mutual aid of the microgrid is improved.
The inter-microgrid mutual assistance process in the microgrid fault state comprises the following steps:
(1) and calculating the demand of the guaranteed power consumption in the fault microgrid. The guarantee power utilization comprises the requirements of power utilization in places with higher power utilization levels, such as schools, hospitals and the like.
(2) And the adjacent micro-grids calculate the adjustable distribution power consumption by subtracting the power consumption demand from the maximum power supply quantity.
(3) And acquiring mutual-aid zone bits of the rest microgrids in the normal state.
(4) Judging whether the guaranteed power consumption demand of the fault microgrid is less than or equal to the sum of the adjustable power supply and supply of the adjacent microgrids; if yes, providing power resources for the failed microgrid according to the sequence of the mutual aid signs of the adjacent microgrids from small to large; and if not, allocating all the adjustable power consumption of the adjacent micro grids to the fault micro grid.
(5) And executing inter-microgrid mutual aid in the normal microgrid state until all microgrid mutual aids are finished.
The system has the advantages that the system can accurately sense the running state, accurately analyze the trend of the section of the solid, accurately quantize the adjustability of the system, fully adjust the load storage and adjustment capability of the power grid, and realize the global overall optimized management of the power distribution network accessed by massive distributed resources and load virtual energy storage and the local real-time accurate regulation and control.
The power supply and demand of the whole area are balanced by the mutual power assistance between the micro-networks and the allocation.
The scheme of the embodiment considers the difference of supply and demand among different areas, and ensures the balance of supply and demand of each power supply area on the basis of meeting self supply. And the adjustment mode of virtual energy storage of the load is selected according to the adjustment amount, so that the method is more flexible.
It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention can be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the claims appended to the present application.
Claims (10)
1. A multi-region coordination control method based on load virtual energy storage is characterized by comprising the following steps:
s1: constructing a plurality of mutual-aid microgrids by taking each base station as a node to form a mutual-aid microgrid area;
s2: respectively collecting the supply and demand relations of each mutual-aid microgrid, calculating the required regulating quantity, and selecting different regulating modes according to the regulating quantity;
s3: and respectively executing internal regulation of each mutual-aid microgrid, feeding back a regulation result, and carrying out balance regulation on the mutual-aid microgrid area.
2. The method according to claim 1, wherein the step S1 specifically includes the following steps:
s101: selecting base stations in normal operation to form a power supply base station set;
s102: dividing a communication area by taking a base station in the power supply base station set as a circle center and a rated distance as a radius; if the communication area has base stations concentrated by other power supply base stations, establishing communication connection; otherwise, ending the communication connection of the base station;
s103: and traversing the power supply base stations to centralize all the base stations, defining the area between the base stations in communication connection as a mutual-aid microgrid, and integrating all the mutual-aid microgrids into a mutual-aid microgrid area.
3. The method as claimed in claim 1 or 2, wherein the cooperative multi-region control based on load virtual energy storage comprises:
the power grid layer comprises power grid equipment and power grid loads;
a control layer including a microgrid controller and a mutual aid controller;
the microgrid controller is used for acquiring microgrid supply and demand information and controlling load adjustment inside the microgrid;
the mutual-aid controller is used for collecting the residual load information of each microgrid and controlling the mutual energy aid among the microgrids.
4. The multi-zone coordination control method based on load virtual energy storage according to claim 3, wherein the load virtual energy storage in the micro-grid comprises distributed energy, air conditioners and new energy vehicles; and the load virtual energy storages are respectively in communication connection with the corresponding microgrid controllers.
5. The method according to claim 1, wherein the step S2 specifically comprises the following steps:
s201: acquiring the power supply capacity of a power grid of the mutual-aid microgrid, and judging whether load adjustment is needed or not according to historical demand data of the mutual-aid microgrid in the same ratio; if yes, go to step S202; otherwise, ending;
s202: calculating the adjustment quantity according to the safety threshold value of the corresponding time period;
s203: and selecting a corresponding adjusting mode according to the adjusting quantity obtained by calculation.
6. The method according to claim 5, wherein the determination process of whether the adjustment is required is as follows:
averaging daily historical demand data in the same quarter by taking a day as a unit to obtain daily average data of the historical demand;
establishing a power-time coordinate system by taking time as a horizontal axis and the load amount as a vertical axis;
drawing a daily average data curve of historical demands and a power supply data curve of a transformer area acquired in real time in the same power-time coordinate system; judging whether a daily average data curve of historical demands exists above a power supply data curve of the distribution room within each minimum unit time by taking one hour as a minimum unit time period; if yes, judging that the time period is the time period required to be subjected to load adjustment, and entering step S202; otherwise, entering the next judgment;
the area formed by the power supply data curve of the station area and the time axis in the ith minimum unit time period is S gi (ii) a The area formed by the daily average data curve of the historical demands and the time shaft in the ith minimum unit time period is S ni (ii) a Judgment S ni And S gi Ratio P S If the time period is greater than the proportional threshold, judging that the time period needs to be subjected to load adjustment if the time period is greater than the proportional threshold, and entering the step S202; otherwise, ending.
7. The method as claimed in claim 1 or 5, wherein the adjustment amount calculation process is as follows:
when S is ni-1 ≥S gi-1 Time of flight
When S is ni-1 ＜S gi-1 Time of flight
Wherein, P di Load adjustment quantity of the microgrid in the ith minimum time period is obtained;
beta is the magnification factor and is a constant;
M k the k type of electric equipment proportionality coefficient in the microgrid is set;
ω k the method comprises the following steps of (1) determining the importance weight coefficient of kth type of electric equipment in the microgrid;
S gi-1 the area formed by a power supply data curve and a time axis of the transformer area in the (i-1) th minimum unit time period;
S ni-1 the area formed by the historical demand daily average data curve and the time axis in the (i-1) th minimum unit time period.
8. The method as claimed in claim 1 or 5, wherein the adjusting method comprises:
the point control mode is used for controlling the output of an air conditioner or feeding back a power grid by using a new energy automobile aiming at an accurate object;
the distributed control mode adopts distributed new energy in a mutual-aid micro-network to consume and supply power on the spot;
and in a centralized control mode, base stations around the mutual-aid microgrid are used for supplying power to the mutual-aid microgrid.
9. The multi-region coordination control method based on load virtual energy storage according to claim 8,
when the load adjustment amount is less than or equal to a first adjustment threshold, adopting a point control mode for regulation and control;
when the load adjustment quantity is greater than a first threshold value and less than or equal to a second adjustment threshold value, a point control mode and a distributed control mode are combined for regulation and control;
and when the load adjustment amount is larger than a second adjustment threshold value or the microgrid is in a fault state, adopting a centralized control mode for regulation and control.
10. The method according to claim 1 or 9, wherein the step S3 specifically includes the following steps:
s301: each microgrid executes adjustment in different time periods according to the calculated load adjustment quantity and the selected adjustment mode;
s302: after the adjustment is completed on the same day, the power supply and demand relationship of each microgrid is respectively counted;
s303: and if the load adjustment amount of the last time period of the day is greater than a second adjustment threshold or the microgrid fails, sending a mutual assistance request to the adjacent microgrids, and executing power mutual assistance between the microgrids by the adjacent microgrids through the base station.
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| CN117875675B (en) * | 2024-03-11 | 2024-06-04 | 国网安徽省电力有限公司经济技术研究院 | Multi-type energy storage system collaborative planning method based on power grid demand |
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